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Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome

Abstract:

Before embarking on an individual participant data meta-analysis (IPDMA) project, researchers and funders need assurance it is worth their time and cost. This should include consideration of how many studies are promising their IPD and, given the characteristics of these studies, the power of an IPDMA including them. Here, we show how to estimate the power of a planned IPDMA of randomized trials to examine treatment-covariate interactions at the participant level (ie, treatment effect modifie...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/sim.9538

Authors


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Role:
Author
ORCID:
0000-0001-8699-0735
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Role:
Author
ORCID:
0000-0003-1542-6277
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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-2772-2316
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Role:
Author
ORCID:
0000-0003-1793-0135
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Role:
Author
ORCID:
0000-0001-7481-0282
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Name:
NIHR Biomedical Research Centre, Oxford
Publisher:
Wiley
Journal:
Statistics in Medicine More from this journal
Volume:
41
Issue:
24
Pages:
4822-4837
Publication date:
2022-08-05
Acceptance date:
2022-07-12
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
Pmid:
35932153
Language:
English
Keywords:
Pubs id:
1274257
Local pid:
pubs:1274257
Deposit date:
2022-08-29

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